2016
DOI: 10.1111/gcb.13127
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Carbon pool densities and a first estimate of the total carbon pool in the Mongolian forest‐steppe

Abstract: The boreal forest biome represents one of the most important terrestrial carbon stores, which gave reason to intensive research on carbon stock densities. However, such an analysis does not yet exist for the southernmost Eurosiberian boreal forests in Inner Asia. Most of these forests are located in the Mongolian forest-steppe, which is largely dominated by Larix sibirica. We quantified the carbon stock density and total carbon pool of Mongolia's boreal forests and adjacent grasslands and draw conclusions on p… Show more

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Cited by 42 publications
(43 citation statements)
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“…The southern boreal forests in Mongolia ( c . 73,800 km², Dulamsuren et al., ) consist mostly of stands strongly dominated by Siberian larch ( Larix sibirica Ledeb.). Therefore, we selected monospecific L. sibirica forests for our study.…”
Section: Methodsmentioning
confidence: 99%
“…The southern boreal forests in Mongolia ( c . 73,800 km², Dulamsuren et al., ) consist mostly of stands strongly dominated by Siberian larch ( Larix sibirica Ledeb.). Therefore, we selected monospecific L. sibirica forests for our study.…”
Section: Methodsmentioning
confidence: 99%
“…Such disturbances can lead to increased carbon emissions for years after the disturbance (Government of Mongolia 2018). Dulamsuren et al (2016) predict that the carbon pool of Mongolia's forests will likely decrease further unless strong measures are taken at the national level.…”
Section: Carbon Sequestrationmentioning
confidence: 99%
“…The actual total area of Mongolian southern boreal forest was estimated at 73 818 km 2 (Dulamsuren et al, 2016). The pro- MGST ( • C) TE f 11.0 ± 2.1Aa 11.7 ± 2.3Ba 11.1 ± 1.4Ca TE s 11.6 ± 2.5Ab 11.7 ± 2.7Ba 11.1 ± 1.7Ca LT f 11.5 ± 2.2Ab 12.1 ± 2.6Bb 11.5 ± 1.7Ab LT s 12.1 ± 2.3Ac 12.8 ± 2.4Bc 11.7 ± 1.6Cc UT f 8.4 ± 0.8Ad 7.9 ± 1.2Bd 8.9 ± 1.3Cd UT s 8.4 ± 0.9Ad 7.5 ± 1.2Be 8.5 ± 1.3Ce…”
Section: Treeline Distributionmentioning
confidence: 99%
“…They found that the biomass estimation method via NDVI was sufficient in low-density forests. Dulamsuren et al (2016) showed the NDVI to be well suited to estimating the tree biomass of Mongolian forests. The best fit of linear regression was found between biomass and the mean NDVI of April for the period 1999-2013.…”
Section: Introductionmentioning
confidence: 99%